Jonathan Lawry

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 47

Top Venues

CoRR

Int. J. Approx. Reason.

Swarm Intell.

DARS

Publications

Zachary R. Madin, Jonathan Lawry, Edmund R. Hunt
Collective Anomaly Perception During Multi-Robot Patrol: Constrained Interactions Can Promote Accurate Consensus. SAC (2024)
Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry
Typicality-based point OOD detection with contrastive learning. NLDL (2024)
Zachary R. Madin, Jonathan Lawry, Edmund R. Hunt
Collective Anomaly Perception During Multi-Robot Patrol: Constrained Interactions Can Promote Accurate Consensus. CoRR (2023)
Michael Crosscombe, Jonathan Lawry
The Benefits of Interaction Constraints in Distributed Autonomous Systems. CoRR (2023)
Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry
Two-step counterfactual generation for OOD examples. CoRR (2023)
Tom Bewley, Jonathan Lawry, Arthur Richards
Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback. CoRR (2023)
Tom Bewley, Jonathan Lawry, Arthur Richards, Rachel Craddock, Ian Henderson
Reward Learning with Trees: Methods and Evaluation. CoRR (2022)
Michael Crosscombe, Jonathan Lawry
The Benefits of Interaction Constraints in Distributed Autonomous Systems. DARS (2022)
Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry
Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection. CoRR (2022)
Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry
Understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection. ICPR Workshops (1) (2022)
Tom Bewley, Jonathan Lawry, Arthur Richards
Summarising and Comparing Agent Dynamics with Contrastive Spatiotemporal Abstraction. CoRR (2022)
Chanelle Lee, Jonathan Lawry, Alan F. T. Winfield
Negative updating applied to the best-of-n problem with noisy qualities. Swarm Intell. 15 (1-2) (2021)
Zixuan Liu, Michael Crosscombe, Jonathan Lawry
Imprecise Fusion Operators for Collective Learning. ALIFE (2021)
Chris Bennett, Seth Bullock, Jonathan Lawry
Demonstrating the Differential Impact of Flock Heterogeneity on Multi-agent Herding. TAROS (2021)
Tom Bewley, Jonathan Lawry
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments. AAAI (2021)
Alice Haynes, Jonathan Lawry, Christopher Kent, Jonathan Rossiter
FeelMusic: Enriching Our Emotive Experience of Music through Audio-Tactile Mappings. Multimodal Technol. Interact. 5 (6) (2021)
Michael Crosscombe, Jonathan Lawry
The Impact of Network Connectivity on Collective Learning. DARS (2021)
Michael Crosscombe, Jonathan Lawry
Collective preference learning in the best-of-n problem. Swarm Intell. 15 (1-2) (2021)
Michael Crosscombe, Jonathan Lawry
The Impact of Network Connectivity on Collective Learning. CoRR (2021)
Tom Bewley, Jonathan Lawry
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments. CoRR (2020)
Jonathan Lawry, Michael Crosscombe, David Harvey
Distributed Possibilistic Learning in Multi-Agent Systems. CoRR (2020)
Jonathan Lawry, Chanelle Lee
Probability pooling for dependent agents in collective learning. Artif. Intell. 288 (2020)
Tom Bewley, Jonathan Lawry, Arthur Richards
Modelling Agent Policies with Interpretable Imitation Learning. TAILOR (2020)
Tom Bewley, Jonathan Lawry, Arthur Richards
Modelling Agent Policies with Interpretable Imitation Learning. CoRR (2020)
Nouf Bindris, Nello Cristianini, Jonathan Lawry
Claim Consistency Checking Using Soft Logic. Mach. Learn. Knowl. Extr. 2 (3) (2020)
Michael Crosscombe, Jonathan Lawry
Evidence Propagation and Consensus Formation in Noisy Environments. AAMAS (2019)
Jonathan Lawry, Van-Nam Huynh, Chris A. McMahon
Three Valued Representation of Opinions in Affective Design. IUKM (2019)
Jonathan Lawry, Michael Crosscombe, David Harvey
Problems. ECSQARU (2019)
Michael Crosscombe, Jonathan Lawry, Palina Bartashevich
Evidence Propagation and Consensus Formation in Noisy Environments. SUM (2019)
Michael Crosscombe, Jonathan Lawry
Evidence Propagation and Consensus Formation in Noisy Environments. CoRR (2019)
Chanelle Lee, Jonathan Lawry, Alan F. T. Winfield
Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus. IJCAI (2018)
Chanelle Lee, Jonathan Lawry, Alan F. T. Winfield
Negative Updating Combined with Opinion Pooling in the Best-of-n Problem in Swarm Robotics. ANTS Conference (2018)
Iván Palomares, Michael Crosscombe, Zhen-Song Chen, Jonathan Lawry
Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making. SMC (2018)
Michael Crosscombe, Jonathan Lawry, Sabine Hauert, Martin E. Homer
Robust distributed decision-making in robot swarms: Exploiting a third truth state. IROS (2017)
Jeremy Morse, Dejanira Araiza-Illan, Kerstin Eder, Jonathan Lawry, Arthur Richards
A fuzzy approach to qualification in design exploration for autonomous robots and systems. FUZZ-IEEE (2017)
Martha Lewis, Jonathan Lawry
Hierarchical conceptual spaces for concept combination. Artif. Intell. 237 (2016)
Martha Anne Flinders Lewis, Jonathan Lawry
A Label Semantics Approach to Linguistic Hedges. CoRR (2016)
Jeremy Morse, Dejanira Araiza-Illan, Jonathan Lawry, Kerstin Eder
Towards the Specification of Adaptive Robotic Systems. CoRR (2016)
Oliver Turnbull, Jonathan Lawry, Mark H. Lowenberg, Arthur Richards
A cloned linguistic decision tree controller for real-time path planning in hostile environments. Fuzzy Sets Syst. 293 (2016)
Jonathan Lawry
Borderlines and probabilities of borderlines: On the interconnection between vagueness and uncertainty. J. Appl. Log. 14 (2016)
Jeremy Morse, Dejanira Araiza-Illan, Jonathan Lawry, Arthur Richards, Kerstin Eder
A formal approach to analysing requirements conformance in adaptive systems. CoRR (2016)
Michael Crosscombe, Jonathan Lawry
A model of multi-agent consensus for vague and uncertain beliefs. Adapt. Behav. 24 (4) (2016)
Martha Anne Flinders Lewis, Jonathan Lawry
Concept Generation in Language Evolution. CoRR (2016)
Martha Lewis, Jonathan Lawry
Emerging Dimension Weights in a Conceptual Spaces Model of Concept Combination. CoRR (2016)
Michael Crosscombe, Jonathan Lawry
Exploiting Vagueness for Multi-Agent Consensus. CoRR (2016)
Martha Anne Flinders Lewis, Jonathan Lawry
The Utility of Hedged Assertions in the Emergence of Shared Categorical Labels. CoRR (2016)
Michael Crosscombe, Jonathan Lawry
A Model of Multi-Agent Consensus for Vague and Uncertain Beliefs. CoRR (2016)
Yongchuan Tang, Jonathan Lawry
On truth-gaps, truth-gluts, and bipolar propositions. Int. J. Approx. Reason. 56 (2015)
Henrietta Eyre, Jonathan Lawry
A Dempster-Shafer model of imprecise assertion strategies. J. Appl. Log. 13 (4) (2015)
Davide Ciucci, Didier Dubois, Jonathan Lawry
Borderline vs. unknown: comparing three-valued representations of imperfect information. Int. J. Approx. Reason. 55 (9) (2014)
Martha Anne Flinders Lewis, Jonathan Lawry
A label semantics approach to linguistic hedges. Int. J. Approx. Reason. 55 (5) (2014)
Henrietta Eyre, Jonathan Lawry
Language games with vague categories and negations. Adapt. Behav. 22 (5) (2014)
Jonathan Lawry
Probability, fuzziness and borderline cases. Int. J. Approx. Reason. 55 (5) (2014)
Hongmei He, Jonathan Lawry
The linguistic attribute hierarchy and its optimisation for classification. Soft Comput. 18 (10) (2014)
Guanyi Li, Jonathan Lawry
A Random Set and Rule-Based Regression Model Incorporating Image Labels. IUKM (2013)
Martha Anne Flinders Lewis, Jonathan Lawry
Concept Generation in Language Evolution. IJCAI (2013)
Jonathan Lawry, Trevor Martin
Conditional Beliefs in a Bipolar Framework. ECSQARU (2013)
Samantha Royston, Jonathan Lawry, K. Horsburgh
A linguistic decision tree approach to predicting storm surge. Fuzzy Sets Syst. 215 (2013)
Jonathan Lawry
Flexible Concepts Are Fuzzy Concepts. On Fuzziness (1) (2013)
Yongchuan Tang, Jonathan Lawry
A bipolar model of vague concepts based on random set and prototype theory. Int. J. Approx. Reason. 53 (6) (2012)
Van-Nam Huynh, Jonathan Lawry, Yoshiteru Nakamori
Integrated uncertainty management for decision making. Ann. Oper. Res. 195 (1) (2012)
Jonathan Lawry, Didier Dubois
A Bipolar Framework for Combining Beliefs about Vague Propositions. KR (2012)
Jonathan Lawry, Yongchuan Tang
On truth-gaps, bipolar belief and the assertability of vague propositions. Artif. Intell. (2012)
Guanyi Li, Jonathan Lawry
Possibilistic Rules from Fuzzy Prototypes. IPMU (2) (2012)
Yongchuan Tang, Jonathan Lawry
Information cells and information cell mixture models for concept modelling. Ann. Oper. Res. 195 (1) (2012)
Yongchuan Tang, Jonathan Lawry
Bipolar Semantic Cells: An Interval Model for Linguistic Labels. IUKM (2011)
Zengchang Qin, Jonathan Lawry
Prediction and query evaluation using linguistic decision trees. Appl. Soft Comput. 11 (5) (2011)
Jonathan Lawry, Inés González Rodríguez
A bipolar model of assertability and belief. Int. J. Approx. Reason. 52 (1) (2011)
Jonathan Lawry
A Random Set and Prototype Theory Interpretation of Intuitionistic Fuzzy Sets. IPMU (1) (2010)
Jerry M. Mendel, Lotfi A. Zadeh, Enric Trillas, Ronald R. Yager, Jonathan Lawry, Hani Hagras, Sergio Guadarrama
What Computing with Words Means to Me [Discussion Forum]. IEEE Comput. Intell. Mag. 5 (1) (2010)
Jerry M. Mendel, Jonathan Lawry, Lotfi A. Zadeh
Foreword to the Special Section on Computing With Words. IEEE Trans. Fuzzy Syst. 18 (3) (2010)
Yongchuan Tang, Jonathan Lawry
Information Cell Mixture Models: The Cognitive Representations of Vague Concepts. IUM (2010)
Jonathan Lawry, Yongchuan Tang
Granular Knowledge Representation and Inference Using Labels and Label Expressions. IEEE Trans. Fuzzy Syst. 18 (3) (2010)
Yongchuan Tang, Jonathan Lawry
A prototype-based rule inference system incorporating linear functions. Fuzzy Sets Syst. 161 (21) (2010)
Jonathan Lawry
Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues. SUM (2010)
Jonathan Lawry, Hongmei He
Linguistic Decision Trees for Fusing Tidal Surge Forecasting Models. SMPS (2010)
Jonathan Lawry, Yongchuan Tang
Uncertainty modelling for vague concepts: A prototype theory approach. Artif. Intell. 173 (18) (2009)
Hongmei He, Jonathan Lawry
A linguistic CMAC equivalent to a Linguistic Decision Tree for classification. IJCNN (2009)
Yongchuan Tang, Jonathan Lawry
Linguistic modelling and information coarsening based on prototype theory and label semantics. Int. J. Approx. Reason. 50 (8) (2009)
Jonathan Lawry, Inés González Rodríguez
Generalised Label Semantics as a Model of Epistemic Vagueness. ECSQARU (2009)
Jonathan Lawry
Appropriateness measures: an uncertainty model for vague concepts. Synth. 161 (2) (2008)
Zengchang Qin, Jonathan Lawry
LFOIL: Linguistic rule induction in the label semantics framework. Fuzzy Sets Syst. 159 (4) (2008)
Jonathan Lawry, Inés González Rodríguez
Non-parametric Density Estimation Based on Label Semantics. SMPS (2008)
Nicholas J. Randon, Jonathan Lawry, K. Horsburgh, Ian D. Cluckie
Fuzzy Bayesian Modeling of Sea-Level Along the East Coast of Britain. IEEE Trans. Fuzzy Syst. 16 (3) (2008)
Jonathan Lawry, Hongmei He
Multi-Attribute Decision Making Based on Label Semantics. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16 (Supplement-2) (2008)
Daniel R. McCulloch, Jonathan Lawry, Ian D. Cluckie
Real-time flood forecasting using updateable linguistic decision trees. FUZZ-IEEE (2008)
Jonathan Lawry, Yongchuan Tang
Relating Prototype Theory and Label Semantics. SMPS (2008)
Van-Nam Huynh, Yoshiteru Nakamori, Jonathan Lawry
A Probability-Based Approach to Comparison of Fuzzy Numbers and Applications to Target-Oriented Decision Making. IEEE Trans. Fuzzy Syst. 16 (2) (2008)
Hongmei He, Jonathan Lawry
Linguistic attribute hierarchies for downwards propagation of information. FUZZ-IEEE (2008)
Jonathan Lawry, Hongmei He
Linguistic Attribute Hierarchies for Multiple-Attribute Decision Making. FUZZ-IEEE (2007)
Zengchang Qin, Jonathan Lawry
Fuzziness and Performance: An Empirical Study with Linguistic Decision Trees. IFSA (1) (2007)
Daniel R. McCulloch, Jonathan Lawry, Miguel A. Rico-Ramirez, Ian D. Cluckie
Classification of Weather Radar Images using Linguistic Decision Trees with Conditional Labelling. FUZZ-IEEE (2007)
Oliver Turnbull, Arthur Richards, Jonathan Lawry, Mark H. Lowenberg
Fuzzy Decision Tree Cloning of Flight Trajectory Optimisation for Rapid Path Planning. CDC (2006)
Nicholas J. Randon, Jonathan Lawry
Classification and query evaluation using modelling with words. Inf. Sci. 176 (4) (2006)
Viet Ha-Thuc, Quang-Anh Nguyen-Van, Tru Hoang Cao, Jonathan Lawry
A Fuzzy Synset-Based Hidden Markov Model for Automatic Text Segmentation. SMPS (2006)
Nicholas J. Randon, Jonathan Lawry, Ian D. Cluckie
Online Learning for Fuzzy Bayesian Prediction. SMPS (2006)
Zengchang Qin, Jonathan Lawry
High Level Fuzzy Labels for Vague Concepts. SMPS (2006)
Jonathan Lawry, Jim W. Hall, Guangtao Fu
A Granular Semantics for Fuzzy Measures and its Application to Climate Change Scenarios. ISIPTA (2005)
Zengchang Qin, Jonathan Lawry
Decision tree learning with fuzzy labels. Inf. Sci. 172 (1-2) (2005)
Zengchang Qin, Jonathan Lawry
Hybrid Bayesian Estimation Trees Based on Label Semantics. ECSQARU (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jonathan Lawry